An open-source Python package that uses AI to predict Nigerian languages, including English, Pidgin, Yoruba, Hausa, and Igbo.
An open-source Python package for conversational AI with support for Nigerian languages, including Pidgin, Yoruba, Hausa, and Igbo.
Use N-ATLAS, Nigeria's multilingual model (English, Yorùbá, Hausa, Igbo), through Bridge by Wekoya: examples in curl, Python, JavaScript and a web app, plus technical documentation.
Sometin Beta Pass Notin (SBPN): multilingual ASR for Yorùbá, Hausa, Igbo, Nigerian Pidgin & Nigerian English via knowledge distillation. Paper resources, appendix & inference scripts.
B.Sc. Final-Year Project (Computer Science, Babcock University 2026) Offline multilingual rule-based symptom triage system for equitable healthcare in Nigeria – HealthHub Framework Academic documentation, system design diagrams, and prototype overview (code not open-sourced)
Faster in your own language: N-ATLaS with 15,000 new Yoruba, Hausa and Igbo tokens. A third fewer tokens and 1.6 to 1.7× more words per second in llama.cpp, as a drop-in GGUF, with the open toolkit to repeat it for any language.
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